Blood pressure estimation

2 papers with code • 2 benchmarks • 2 datasets

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Latest papers with code

Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks

stmilab/cufflessbp_dann 24 Jul 2020

A practical problem with this approach is that the amount of data required to confidently train such a regression model can be prohibitive.

Blood pressure estimation Transfer Learning

24 Jul 2020

Long-term Blood Pressure Prediction with Deep Recurrent Neural Networks

psu1/DeepRNN 12 May 2017

Existing methods for arterial blood pressure (BP) estimation directly map the input physiological signals to output BP values without explicitly modeling the underlying temporal dependencies in BP dynamics.

Blood pressure estimation Electrocardiography (ECG)

12 May 2017